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Periodic Change of River Runoff Based on EMD-MES

机译:基于EMD-MES的河流径流定期变化

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This paper discusses stabilizing treatment of runoff time series by empirical mode decomposition (EMD), and periodic analysis of stabilized runoff time series by maximum entropy spectrum, and presents high-resolution character of maximum entropy spectrum and its application prospect in hydrology. It conducts the analysis and calculation in combination with a real example of annual runoff series at the Lanzhou station in the upper of Yellow River, and study proves that annual runoff has 11.1, 6.25 and 3.1 years significant periods at the Lanzhou station. The conclusion illustrates the feasibility of this method and provides scientific data for water resources planning and managing.
机译:本文讨论了通过经验模型分解(EMD)稳定处理径流时间序列的处理,并通过最大熵谱进行稳定径流时间序列的周期性分析,并提出了最大熵谱的高分辨率特征及其在水文中的应用前景。它与黄河上部兰州站的年径流系列的实际例子相结合进行了分析和计算,研究证明,年径流有11.1,6.25和3.1年在兰州站的重要时期。结论说明了该方法的可行性,为水资源规划和管理提供了科学数据。

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